Senior Software Engineering Manager
$160,000–$175,000 year
HybridManhattan, New York, United States
Job Summary
Manage and support a small team of high-achieving agile software and data engineers while designing, building, and operating cloud-based APIs for consumer websites and native mobile apps. Work daily with compute, query, storage, and big data services on AWS and GCP to own data ingestion pipelines for real-time and batch processing of large-scale content. Personally troubleshoot issues spanning browser JavaScript through DNS, networking, containers, and serverless tiers, while owning codebases, pull requests, testing, and release processes. Partner with product, editorial, and data science teams to deliver infrastructure and services that meet business needs, monitoring and optimizing reliability, security, and cost efficiency. Run agile sprint ceremonies and organize architecture discussions for technical and non-technical audiences.
Required Qualifications
- MS or BS in computer science, or related field
- 10+ years of professional software engineering experience
- 5+ years experience leading engineering teams
- Agile best practices
- Proficiency in modern programming languages and frameworks such as Python, Node.js, or Go
- Solid familiarity of common AWS and/or GCP services
- Robust experience with REST and GraphQL APIs, authentication/authorization, and API best practices
- Firm grasp of the tools of the trade including AI tools, IDEs, Git, JIRA, and agile methodologies
- Comfort with code reviews, unit tests, QA and UAT processes, and knowledge of end-to-end testing frameworks
- Strong troubleshooting skills
- Attention to detail, thoroughness, a proactive approach to problem-solving, and a comfort in diving in and learning things from scratch
- Highly organized with the ability to manage multiple priorities in a fast-paced environment
- This position would be expected to be in the office a minimum of 3 days per week
Desired Qualifications
- Familiarity with content-management systems, media, news, publishing, video technology, ad technology, or other high-traffic consumer-facing industries
- Hands-on experience with generative-AI models, LLM prompting, and/or machine learning
- Personalization and recommendation systems
- Experience building and deploying data pipelines (e.g., Airflow, Dataflow, Glue, or similar tools)
- Comfort with Linux administration, shell scripting, ssh, crontabs, etc.
- Experience with monitoring, logging, dashboard, and alarming tools (e.g., CloudWatch, Datadog, Splunk, etc.)
- Knowledge of data warehouse technologies (BigQuery, Snowflake, Redshift, etc.)
- Understanding of CI/CD workflows and containerization (Docker, Kubernetes a plus)
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